Yvonne Wren
How many words make a sample? Determining the minimum number of word tokens needed in connected speech samples for child speech assessment
Wren, Yvonne; Titterington, Jill; White, Paul
Abstract
Connected speech (CS) is an important component of child speech assessment in both clinical practice and research. There is debate in the literature regarding what size sample of CS is required to facilitate reliable measures of speech output. The aim of this study was to identify the minimum number of word tokens required to obtain a reliable measure of CS across a range of measures. Participants were 776 5-year-olds from a longitudinal community population cohort study (Avon Longitudinal Study of Parents and Children, ALSPAC). Children’s narratives from a story retell task were audio-recorded and phonetically transcribed. Automatic analysis of the transcribed speech samples was completed using an automated transcription and analysis system. Measures of speech performance extracted included: a range of profiles of percentage consonant correct; frequency of substitutions, omissions, distortions and additions (SODA); percentage of syllable and stress pattern matches; and a measure of whole word complexity (Phonological Mean Length of Utterance, pMLU). Statistical analyses compared these measures at different CS sample sizes in increments using averages and weighted moving averages, and investigated how measures performed between CS samples grouped into word tokens of at least 50, 75 and 100, and restricted to samples of 50–74, 75–99 and 100–125. Key findings showed that sample sizes of 75 word tokens and above showed minimal differences in most measures of speech output, suggesting that the minimum requirement for samples of CS is a word count of 75. The exception to this is in the case of pMLU and measures of substitutions and distortions when a word count of 100 is recommended.
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 20, 2020 |
Online Publication Date | Oct 6, 2020 |
Publication Date | 2021 |
Deposit Date | Sep 20, 2020 |
Publicly Available Date | Jul 21, 2021 |
Journal | Clinical Linguistics & Phonetics. |
Print ISSN | 0269-9206 |
Electronic ISSN | 1464-5076 |
Publisher | Taylor & Francis |
Peer Reviewed | Peer Reviewed |
Volume | 35 |
Issue | 8 |
Pages | 761-778 |
DOI | https://doi.org/10.1080/02699206.2020.1827458 |
Keywords | Speech, transcription, speech Sound Disorder, alspac, connected speech, sample size |
Public URL | https://uwe-repository.worktribe.com/output/6698613 |
Additional Information | From: Clinical Linguistics & Phonetics Sent: Sunday, September 20, 2020 9:32:40 AM To: Yvonne Wren Subject: Clinical Linguistics & Phonetics - Decision on Manuscript ID TCLP-2020-0090.R1 20-Sep-2020 Dear Dr Wren: Ref: How many words make a sample? Determining the minimum number of word tokens needed in connected speech samples for child speech assessment Our referees have now considered your paper and have recommended publication in Clinical Linguistics & Phonetics. We are pleased to accept your paper in its current form which will now be forwarded to the publisher for copy editing and typesetting. Accepted papers will be transmitted for production. The first and most important task for authors at that point will be to complete an online author agreement form. Please make sure you complete it as soon as you receive the publisher notice about it. You will receive proofs for checking. The publisher requests that proofs are checked and returned within 48 hours of receipt. Thank you for your contribution to Clinical Linguistics & Phonetics and we look forward to receiving further submissions from you. Sincerely, Dr Nicole Müller Editor in Chief, Clinical Linguistics & Phonetics nicole.muller@ucc.ie |
Files
How many words make a sample? Determining the minimum number of word tokens needed in connected speech samples for child speech assessment
(4 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Changes in attitudes towards telemedicine in acute burn care following the Covid-19 pandemic
(2024)
Journal Article
The inadvertently revealing statistic: A systemic gap in statistical training?
(2024)
Journal Article
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search